Network privacy information storage model based on holographic digital watermarking technology

Autor:	Shuang Qiu, Dangdang Dai, Hui Yuan, Huan Xu, Xian Fei Zhang, Guowei Zhu
Rok vydání:	2021
Předmět:	Mean squared error business.industry Computer science Equalization (audio) Filter (signal processing) Construct (python library) computer.software_genre Automation Symbol (chemistry) Data modeling Data mining business Digital watermarking computer
Zdroj:	2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA).
DOI:	10.1109/icsgea53208.2021.00095
Popis:	Aiming at the problems of large storage error and low determination coefficient in traditional information storage model, a network privacy information storage model based on holographic digital watermarking technology is proposed. By identifying the network privacy information, the least square method is used to filter the non significant information of network privacy information, and the fuzzy adaptive equalization storage method is used to compensate the error of symbol output To the steady-state characteristic solution of network privacy information, the holographic digital watermarking technology is introduced to construct the network privacy information storage model. The experimental results show that the improved model can effectively reduce the root mean square error, improve the decision coefficient of information storage, and increase the effect of storage.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1a88a8748fd94fdeff5eb7186b2aa540 https://doi.org/10.1109/icsgea53208.2021.00095 Zobrazit plný text záznamu